Neural networks, AI, and the goals of modeling.

Journal: The Behavioral and brain sciences
PMID: 38054344

Abstract

Deep neural networks (DNNs) have found many useful applications in recent years. Of particular interest have been those instances where their successes imitate human cognition and many consider artificial intelligences to offer a lens for understanding human intelligence. Here, we criticize the underlying conflation between the predictive and explanatory power of DNNs by examining the goals of modeling.

Authors

  • Walter Veit
    School of History and Philosophy of Science, The University of Sydney, Sydney, NSW 2006, Australia wrwveit@gmail.com; https://walterveit.com/.
  • Heather Browning
    London School of Economics and Political Science, Centre for Philosophy of Natural and Social Science, Houghton Street, London WC2A 2AE, UK DrHeatherBrowning@gmail.com; https://www.heatherbrowning.net/.

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